Release v1.0.0
Overview
This is the first official release of our Mini ML project, marking the initial deployment of all the features. This release encompasses all the fundamental functionalities that we have developed and tested comprehensively. It is designed to provide a solid foundation for further enhancements and community contributions.
Features
This release includes the following features:
- Machine Learning Models: Implementation of basic machine learning algorithms in both Python and C.
- Data Preprocessing Tools: Utilities to help clean and prepare data for analysis and modeling.
- Model Evaluation Framework: Tools to evaluate and compare the performance of different machine learning models.
- Documentation: Comprehensive documentation covering setup, usage, and examples.
Installation
To get started with Mini ML, clone the repository and follow the setup instructions in the README.md file.
git clone https://github.com/your-username/mini_ml.git
cd mini_ml
# Follow setup instructions
Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. Check our CONTRIBUTING.md for details on how to submit pull requests.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Support
If you encounter any problems, please file an issue along with a detailed description at Issues.
Acknowledgements
Thanks to everyone who has contributed to this release!